Paper
5 March 1999 Visual morphology
Author Affiliations +
Proceedings Volume 3646, Nonlinear Image Processing X; (1999) https://doi.org/10.1117/12.341081
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
Morphology is one of the most active research areas in nonlinear image processing and has many applications. The basic reason for this is the good noise attenuation and edge preservation performance, quantitative description of geometrical structure while maintaining low computational complexity. Over the past twenty years, many efforts have been devoted in psychophysics and physiology to analyzes the response of the human visual system which can perfectly detect and recognize the image information. Because the human visual system is an excellent image processor, it is natural to find and use a gap between the human visual system and morphology. The goal of this article is to introduce a new concept, Visual Morphology, which shares many of the important characteristics of the human visual system and morphology. This technique has been employed on NASA's Earth Observing System satellite data for the purpose of anomaly detection and visualization. Also, it has shown the beneficial effect of applying SAR images. It helps to improve the detection of small targets. Both theoretical analysis and simulation results have shown that the proposed concept has a great future.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sos S. Agaian "Visual morphology", Proc. SPIE 3646, Nonlinear Image Processing X, (5 March 1999); https://doi.org/10.1117/12.341081
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CITATIONS
Cited by 16 scholarly publications.
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KEYWORDS
Image filtering

Visualization

Image processing

Nonlinear filtering

Filtering (signal processing)

Visual system

Image enhancement

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